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Showing results 44 to 63 of 72
Issue DateTitleAuthor(s)
2015On the prediction of Hodgkin lymphoma treatment responseAndrés Galiana, Enrique Juan de; Fernández Martínez, Juan Luis; Luaces Rodríguez, Óscar; Coz Velasco, Juan José del; Fernández, R.; Solano, Julia; Nogués, E. A.; González Rodríguez, Ana Pilar
2013On the Problem of Error Propagation in classifier chains for multi-label classificationSenge, Robin; Coz Velasco, Juan José del; Hüllermeier, Eyke
2013On the study of nearest neighbor algorithms for prevalence estimation in binary problemsBarranquero Tolosa, José; González, Pablo; Díez Peláez, Jorge; Coz Velasco, Juan José del
Mar-2015Optimizing different loss functions in multilabel classificationsDíez Peláez, Jorge; Luaces Rodríguez, Óscar; Coz Velasco, Juan José del; Bahamonde Rionda, Antonio
2016An overview of Inference Methods in Probabilistic Classifier Chains for Multi-label classificationMena Waldo, Deiner; Montañés Roces, Elena; Quevedo Pérez, José Ramón; Coz Velasco, Juan José del
2010Predicción taxonómica de muestras de microplancton usando técnicas de Aprendizaje AutomáticoGonzález, P.; Díez Peláez, Jorge; Coz Velasco, Juan José del
2013Predicting fertility from seminal traits: Performance of several parametric and non-parametric proceduresPiles, Miriam; Díez Peláez, Jorge; Coz Velasco, Juan José del; Montañés Roces, Elena; Quevedo Pérez, José Ramón; Ramón, Josep; Rafel, Oriol; López Béjar, M.; Tusell, L.
2009Prediction and inheritance of phenotypesBahamonde Rionda, Antonio; Alonso González, Jaime; Coz Velasco, Juan José del; Díez Peláez, Jorge; Quevedo Pérez, José Ramón; Luaces Rodríguez, Óscar
2015Quantification-oriented learning based on reliable classifiersBarranquero Tolosa, José; Díez Peláez, Jorge; Coz Velasco, Juan José del
2013Rectifying classifier chains for multi-label classificationSenge, Robin; Coz Velasco, Juan José del; Hüllermeier, Eyke
2017A review onquantification learningGonzález González, Pablo; Castaño Gutiérrez, Alberto; Chawla, N. V.; Coz Velasco, Juan José del
2010A semi-dependent decomposition approach to learn hierarchical classifiersDíez Peláez, Jorge; Coz Velasco, Juan José del; Bahamonde Rionda, Antonio
2000Un sistema inteligente para calificar morfológicamente a bovinos de la raza Asturiana de los VallesLópez García, José Secundino; Goyache, Félix; Quevedo Pérez, José Ramón; Alonso González, Jaime; Ranilla Pastor, José; Luaces Rodríguez, Óscar; Bahamonde Rionda, Antonio; Coz Velasco, Juan José del
2009Soft margin treesDíez Peláez, Jorge; Coz Velasco, Juan José del; Bahamonde Rionda, Antonio; Luaces Rodríguez, Óscar
Jul-2012A Study of Decomposition Methods for Multilabel ClassificationMenéndez López, Begoña Herminia
2006A support vector method for ranking minimizing the number of swapped pairsDíez Peláez, Jorge; Coz Velasco, Juan José del; Bahamonde Rionda, Antonio
2002Técnicas de Inteligencia Artificial en la clasificación de canales bovinas.Díez Peláez, Jorge; Goyache, Félix; Alonso González, Jaime; Coz Velasco, Juan José del; Quevedo Pérez, José Ramón; López, S.
2005Trait selection for assessing beef meat quality using non-linear SVMCoz Velasco, Juan José del; Fernández Bayón, Gustavo; Díez Peláez, Jorge; Luaces Rodríguez, Óscar; Bahamonde Rionda, Antonio; Sañudo, Carlos
2001The usefulness of artificial intelligence techniques to assess subjective quality of products in the food industryGoyache, Félix; Bahamonde Rionda, Antonio; Alonso González, Jaime; López, S.; Coz Velasco, Juan José del; Quevedo Pérez, José Ramón; Ranilla Pastor, José; Luaces Rodríguez, Óscar; Álvarez Fernández, Isabel; Royo Martín, Luis J.
2004The use of machine learning algorithms for the study of business profitability: A new approach based on preferencesAndrés Suárez, Javier; Lorca Fernández, Pedro; Bahamonde Rionda, Antonio; Coz Velasco, Juan José del
Showing results 44 to 63 of 72

 

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